May Radiomic Data Predict Prostate Cancer Aggressiveness?

Author(s):  
Danila Germanese ◽  
Sara Colantonio ◽  
Claudia Caudai ◽  
Maria Antonietta Pascali ◽  
Andrea Barucci ◽  
...  
2006 ◽  
Vol 175 (4S) ◽  
pp. 136-136
Author(s):  
Tsutomu Nishiyama ◽  
Toshihiko Ikarashi ◽  
Yutaka Hashimoto ◽  
Kazuya Suzuki ◽  
Kota Takahashi

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mads Ryø Jochumsen ◽  
Jens Sörensen ◽  
Lars Poulsen Tolbod ◽  
Bodil Ginnerup Pedersen ◽  
Jørgen Frøkiær ◽  
...  

Abstract Background Both prostate-specific membrane antigen (PSMA) uptake and tumour blood flow (TBF) correlate with International Society of Urological Pathology (ISUP) Grade Group (GG) and hence prostate cancer (PCa) aggressiveness. The aim of the present study was to evaluate the potential synergistic benefit of combining the two physiologic parameters for separating significant PCa from insignificant findings. Methods From previous studies of [82Rb]Rb positron emission tomography (PET) TBF in PCa, the 43 patients that underwent clinical [68Ga]Ga-PSMA-11 PET were selected for this retrospective study. Tumours were delineated on [68Ga]Ga-PSMA-11 PET or magnetic resonance imaging. ISUP GG was recorded from 52 lesions. Results [68Ga]Ga-PSMA-11 maximum standardized uptake value (SUVmax) and [82Rb]Rb SUVmax correlated moderately with ISUP GG (rho = 0.59 and rho = 0.56, both p < 0.001) and with each other (r = 0.65, p < 0.001). A combined model of [68Ga]Ga-PSMA-11 and [82Rb]Rb SUVmax separated ISUP GG > 2 from ISUP GG 1–2 and benign with an area-under-the-curve of 0.85, 96% sensitivity, 74% specificity, and 95% negative predictive value. The combined model performed significantly better than either tracer alone did (p < 0.001), primarily by reducing false negatives from five or six to one (p ≤ 0.025). Conclusion PSMA uptake and TBF provide complementary information about tumour aggressiveness. We suggest that a combined analysis of PSMA uptake and TBF could significantly improve the negative predictive value and allow non-invasive separation of significant from insignificant PCa.


2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Xavier Ruiz-Plazas ◽  
Esther Rodríguez-Gallego ◽  
Marta Alves ◽  
Antonio Altuna-Coy ◽  
Javier Lozano-Bartolomé ◽  
...  

Abstract Background Conventional clinical biomarkers cannot accurately differentiate indolent from aggressive prostate cancer (PCa). We investigated the usefulness of a biomarker panel measured exclusively in biofluids for assessment of PCa aggressiveness. Methods We collected biofluid samples (plasma/serum/semen/post-prostatic massage urine) from 98 patients that had undergone radical prostatectomy. Clinical biochemistry was performed and several cytokines/chemokines including soluble(s) TWEAK, sFn14, sCD163, sCXCL5 and sCCL7 were quantified by ELISA in selected biofluids. Also, the expression of KLK2, KLK3, Fn14, CD163, CXCR2 and CCR3 was quantified by real-time PCR in semen cell sediment. Univariate, logistic regression, and receiver operating characteristic (ROC) analyses were used to assess the predictive ability of the selected biomarker panel in conjunction with clinical and metabolic variables for the evaluation of PCa aggressiveness. Results Total serum levels of prostate-specific antigen (PSA), semen levels of sTWEAK, fasting glycemia and mRNA levels of Fn14, KLK2, CXCR2 and CCR3 in semen cell sediment constituted a panel of markers that was significantly different between patients with less aggressive tumors [International Society of Urological Pathology (ISUP) grade I and II] and those with more aggressive tumors (ISUP grade III, IV and V). ROC curve analysis showed that this panel could be used to correctly classify tumor aggressiveness in 90.9% of patients. Area under the curve (AUC) analysis revealed that this combination was more accurate [AUC = 0.913 95% confidence interval (CI) 0.782–1] than a classical non-invasive selected clinical panel comprising age, tumor clinical stage (T-classification) and total serum PSA (AUC = 0.721 95% CI 0.613–0.830). Conclusions TWEAK/Fn14 axis in combination with a selected non-invasive biomarker panel, including conventional clinical biochemistry, can improve the predictive power of serum PSA levels and could be used to classify PCa aggressiveness.


2019 ◽  
Vol 18 (1) ◽  
pp. 153-165 ◽  
Author(s):  
Janielle P. Maynard ◽  
Onur Ertunc ◽  
Ibrahim Kulac ◽  
Javier A. Baena-Del Valle ◽  
Angelo M. De Marzo ◽  
...  

Neoplasia ◽  
2002 ◽  
Vol 4 (5) ◽  
pp. 424-431 ◽  
Author(s):  
Phillippa J. Neville ◽  
David V. Contit ◽  
Pamela L. Paris ◽  
Howard Levint ◽  
William J. Catalona ◽  
...  

2012 ◽  
Vol 22 (6) ◽  
pp. 1328-1335 ◽  
Author(s):  
Andrea M. Tavlarides ◽  
Steven C. Ames ◽  
Nancy N. Diehl ◽  
Richard W. Joseph ◽  
Erik P. Castle ◽  
...  

Author(s):  
Mads Ryø Jochumsen ◽  
Jens Sörensen ◽  
Bodil Ginnerup Pedersen ◽  
Jens Randel Nyengaard ◽  
Søren Rasmus Palmelund Krag ◽  
...  

2020 ◽  
Vol 52 (1) ◽  
pp. 271-279 ◽  
Author(s):  
Stefanie J. Hectors ◽  
Daniela Said ◽  
Jeffrey Gnerre ◽  
Ashutosh Tewari ◽  
Bachir Taouli

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